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Continuation methods for adapting simulated skills
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ACM Transactions on Graphics (TOG) archive
Volume 27 ,  Issue 3  (August 2008) table of contents
Proceedings of ACM SIGGRAPH 2008
SESSION: Humans table of contents
Article No. 81  
Year of Publication: 2008
ISSN:0730-0301
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Authors
KangKang Yin  University of British Columbia
Stelian Coros  University of British Columbia
Philippe Beaudoin  University of British Columbia
Michiel van de Panne  University of British Columbia
Publisher
ACM  New York, NY, USA
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ABSTRACT

Modeling the large space of possible human motions requires scalable techniques. Generalizing from example motions or example controllers is one way to provide the required scalability. We present techniques for generalizing a controller for physics-based walking to significantly different tasks, such as climbing a large step up, or pushing a heavy object. Continuation methods solve such problems using a progressive sequence of problems that trace a path from an existing solved problem to the final desired-but-unsolved problem. Each step in the continuation sequence makes progress towards the target problem while further adapting the solution. We describe and evaluate a number of choices in applying continuation methods to adapting walking gaits for tasks involving interaction with the environment. The methods have been successfully applied to automatically adapt a regular cyclic walk to climbing a 65cm step, stepping over a 55cm sill, pushing heavy furniture, walking up steep inclines, and walking on ice. The continuation path further provides parameterized solutions to these problems.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Sharon, D., and van de Panne, M. 2005. Synthesis of controllers for stylized planar bipedal walking. In International Conference on Robotics and Automation.
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van de Panne, M., and Lamouret, A. 1995. Guided optimization for balanced locomotion. In Proc. EG Workshop on Computer Animation and Simulation, 165--177.
 
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Collaborative Colleagues:
KangKang Yin: colleagues
Stelian Coros: colleagues
Philippe Beaudoin: colleagues
Michiel van de Panne: colleagues